An integrated neural network based system and methodology for group technology scheduling

Group Technology (GT) concept has widely been adopted in many manufacturing companies. In these companies, the required resources including the machines, tooling and material handling equipment dedicated for each part family are grouped into a GT cell. Such an arrangement will enable the manufacturi...

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Main Author: Khaw, Fook Cheon.
Other Authors: Lim, Enk Ng Lennie
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/19883
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-19883
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spelling sg-ntu-dr.10356-198832023-03-11T16:58:35Z An integrated neural network based system and methodology for group technology scheduling Khaw, Fook Cheon. Lim, Enk Ng Lennie School of Mechanical and Production Engineering DRNTU::Engineering::Systems engineering Group Technology (GT) concept has widely been adopted in many manufacturing companies. In these companies, the required resources including the machines, tooling and material handling equipment dedicated for each part family are grouped into a GT cell. Such an arrangement will enable the manufacturing companies to simplify their scheduling processes. To-date many scheduling heuristics have been developed to improve the effectiveness of scheduling in the GT cells. These heuristics, however, have not been effective for scheduling parallel machines with major and minor setup times. Such machines can perform a variety of operations on a large set of part families. The determination of major and minor setup times for each machine is dependent on the similarities of part families to be scheduled on that machine. The objective is to minimize flow time and tardiness by reducing the total setup times. Doctor of Philosophy (MPE) 2009-12-14T07:05:01Z 2009-12-14T07:05:01Z 1994 1994 Thesis http://hdl.handle.net/10356/19883 en NANYANG TECHNOLOGICAL UNIVERSITY 270 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Systems engineering
spellingShingle DRNTU::Engineering::Systems engineering
Khaw, Fook Cheon.
An integrated neural network based system and methodology for group technology scheduling
description Group Technology (GT) concept has widely been adopted in many manufacturing companies. In these companies, the required resources including the machines, tooling and material handling equipment dedicated for each part family are grouped into a GT cell. Such an arrangement will enable the manufacturing companies to simplify their scheduling processes. To-date many scheduling heuristics have been developed to improve the effectiveness of scheduling in the GT cells. These heuristics, however, have not been effective for scheduling parallel machines with major and minor setup times. Such machines can perform a variety of operations on a large set of part families. The determination of major and minor setup times for each machine is dependent on the similarities of part families to be scheduled on that machine. The objective is to minimize flow time and tardiness by reducing the total setup times.
author2 Lim, Enk Ng Lennie
author_facet Lim, Enk Ng Lennie
Khaw, Fook Cheon.
format Theses and Dissertations
author Khaw, Fook Cheon.
author_sort Khaw, Fook Cheon.
title An integrated neural network based system and methodology for group technology scheduling
title_short An integrated neural network based system and methodology for group technology scheduling
title_full An integrated neural network based system and methodology for group technology scheduling
title_fullStr An integrated neural network based system and methodology for group technology scheduling
title_full_unstemmed An integrated neural network based system and methodology for group technology scheduling
title_sort integrated neural network based system and methodology for group technology scheduling
publishDate 2009
url http://hdl.handle.net/10356/19883
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